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DBMS > Datomic vs. Microsoft Azure Data Explorer vs. RethinkDB vs. Spark SQL vs. Sqrrl

Vergleich der Systemeigenschaften Datomic vs. Microsoft Azure Data Explorer vs. RethinkDB vs. Spark SQL vs. Sqrrl

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDatomic  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRethinkDB  Xaus Vergleich ausschliessenSpark SQL  Xaus Vergleich ausschliessenSqrrl  Xaus Vergleich ausschliessen
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
KurzbeschreibungDBMS mit Fokus auf der Abspeicherung von historischen Daten und 'point-in-time queries'. Es verwendet Fremdsysteme zur Speicherung der DatenFully managed big data interactive analytics platformDBMS for the Web with a mechanism to push updated query results to applications in realtime.Spark SQL ist ein Spark-Modul für die Verarbeitung strukturierter DatenAdaptable, secure NoSQL built on Apache Accumulo
Primäres DatenbankmodellRelational DBMSRelational DBMS infocolumn orientedDocument StoreRelational DBMSDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Sekundäre DatenbankmodelleDocument Store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Suchmaschine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,76
Rang#145  Overall
#66  Relational DBMS
Punkte5,16
Rang#69  Overall
#37  Relational DBMS
Punkte2,84
Rang#106  Overall
#19  Document Stores
Punkte19,15
Rang#33  Overall
#20  Relational DBMS
Websitewww.datomic.comazure.microsoft.com/­services/­data-explorerrethinkdb.comspark.apache.org/­sqlsqrrl.com
Technische Dokumentationdocs.datomic.comdocs.microsoft.com/­en-us/­azure/­data-explorerrethinkdb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
EntwicklerCognitectMicrosoftThe Linux Foundation infosince July 2017Apache Software FoundationAmazon infoursprünglich Sqrrl Data, Inc.
Erscheinungsjahr20122019200920142012
Aktuelle Version1.0.6735, Juni 2023cloud service with continuous releases2.4.1, August 20203.5.0 ( 2.13), September 2023
Lizenz infoCommercial or Open Sourcekommerziell infoLimitierte Edition gratiskommerziellOpen Source infoApache Version 2Open Source infoApache 2.0kommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJava, ClojureC++ScalaJava
Server BetriebssystemeAlle Betriebssysteme mit einer Java VMgehostetLinux
OS X
Windows
Linux
OS X
Windows
Linux
DatenschemajaFixed schema with schema-less datatypes (dynamic)schemafreijaschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja infostring, binary, float, bool, date, geometryjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinnein
Sekundärindizesjaall fields are automatically indexedjaneinja
SQL infoSupport of SQLneinKusto Query Language (KQL), SQL subsetneinSQL-like DML and DDL statementsnein
APIs und andere ZugriffskonzepteRESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Unterstützte ProgrammiersprachenClojure
Java
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Python
R
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-seitige Scripts infoStored Proceduresja infoTransaction FunctionsYes, possible languages: KQL, Python, Rneinnein
TriggersBy using transaction functionsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyClient-side triggers through changefeedsneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkeine infoBut extensive use of caching in the application peersSharding infoImplicit feature of the cloud serviceSharding inforange basedyes, utilizing Spark CoreSharding infoBasierend auf Hadoop
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenkeine infoBut extensive use of caching in the application peersja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikationkeinefrei wählbarer Replikationsfaktor infobasierend auf Hadoop
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkjaja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinAtomic single-document operationsneinAtomic updates per row, document, or graph entity
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajaja infoMVCC basedjaja
Durability infoDauerhafte Speicherung der Datenja infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)jajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenja inforecommended only for testing and developmentneinneinnein
Berechtigungskonzept infoZugriffskontrolleneinAzure Active Directory Authenticationja infousers and table-level permissionsneinCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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Weitere Ressourcen
DatomicMicrosoft Azure Data ExplorerRethinkDBSpark SQLSqrrl
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